What is a smart city?
A smart city is an urban area using advanced electronic methods to collect data, in order to improve operations and safety of its inhabitants. Smart cities are not necessarily the biggest metropoles in the world, but the ones that use the technology, to improve its effectivity and existence.
The 4th Industrial Revolution was first introduced by Klaus Schwab in 2015 and now it is paving the way for the development of Smart Cities.
We are talking about a smart city when advanced urban infrastructures use data to increase living experience for the citizens.
You might have heard about smart buildings or grocery ordering refrigerators, where gaining data from an individual's routine and robotize their daily tasks allow them a more cost and time efficient way of living.
However, the new generation of Internet of Things (IoT) in the automation industry is taking urban services to an entirely new level.
As some experts have explained it, 'smart cities are basically regular cities on testosterones'. Smart cities have amazing infrastructure and rapid growth.
"Did you know that many hospitals all over the world have increased costs related to missing equipment and they purchase 15% to 20% extra equipment for efficient work flow?"
The greatest challenge of emergency services is that accidents or disasters cannot be predicted and the safety of citizens, who ultimately use the city, highly depend on the response of the emergency sector. Delay in response times could be the difference between life and death.
While manpower deployed during emergency situations can be trained, they must be provided with proper information and vital equipment in time to give a head start in cutting response time.
That is why it is important to raise initiatives, which provide reliable information of dispatch supplies on board of emergency vehicles. This ensures a quick and smooth functioning of emergency services.
What is AutoPi and How it is Connected to the Smart City?
AutoPi delivers innovative connected car services to enhance and reimagine the driving experience for citizens. AutoPi is working on solutions to make a digital transformation in the automotive industry and build a foundation for human centric mobility services.
AutoPi is specializing in IoT hardware devices and extendable cloud platform to securely connect vehicles to the internet and gain data of automotive usage which provide a cheaper, safer and smoother way of driving for its users.
Even though the widespread adoption of IoT technology is still facing some challenges, besides the automotive industry, connected lightning devices and healthcare is also one of the fastest growing sectors in the automation industry.
It is not that far away when AutoPi solutions will be able to unite
all these sectors and enhance a better quality of life for citizens. The advanced AutoPi IoT platform will benefit lots of
Therefore we have decided to put together a series of articles to give you an opportunity to gain valuable insights and help you stay tuned with the latest updates on smart city mobility solutions.
Road Condition Detection
“ Did you know that a recent study of The Pacific Institute for Research and Evaluation estimates that road problems like potholes and iced-over stretches of highway cause more than 42,000 deaths a year in the US?”
Maintenance of roads are typically handled by the public road service. Detection of condition relies on manual inspection and reporting, sometimes by the users of the roads.
process is tedious, cumbersome and prone to errors and mistakes. With an automatic system
including full reporting, this process could be highly improved while at the same time reducing
the costs of road maintenance.
Using AutoPi for Road Surface Detection
Current road maintenance depends on manual detection and reporting, often visual. AutoPi has built-in sensors with capabilities to collect and process data about the environments, which solves the problem of having a reliable and up-to-date data foundation for making valid decisions about road surface conditions.
There is a built-in accelerometer in AutoPi which detects every movement of the device and shows if the device was moved, because of a pothole or bad road surface.
Additional sensors can be added to the AutoPi with ease. The AutoPi has a built-in BLE connection, which makes it possible to connect to various other sensors. One such is the Texas Instruments CC2650 SensorTag, which has a built-in accelerometer:
With a solid data foundation, an analysis
of the road surface condition can be performed, via pattern detection. The AutoPi also
relays GPS position, so with all the data collected by the AutoPi and the external
sensors, it would be possible to create a report showing exactly where and how
severe a pothole was.
Even though, AutoPi serves the driver on the first place, not only citizens can benefit from the collected data. In the future, AutoPi could automatically send this information to governmental institutions to speed up their reaction time, optimize their resources and lower accident rates.
Using AutoPi for Asset Tracking Solution
Among all branches, fire, rescue and healthcare services show the highest interests in the adoption of Asset Tracking Solution, mostly because these sectors experience losses due to missing equipment and also well-planned and effective operations in these fields are much required.
AutoPi Asset Tracking Solution proposes immediate and sustainable assistance, where vehicles can cater significant tasks to make rescue and emergency operations safer, easier and more efficient.
In our case, ultra-low powered sensors should be attached and assigned to every vital equipment in each vehicle. This will give a detailed overview about the location and the temperature of the asset, or even measure the humidity.
Sensor tags will connect to the AutoPi Telematics Unit via Bluetooth and automatically report position details to monitor if the registered equipment is nearby.
It can also raise alerts if the device is not detected or show the last seen position of the asset, so quick actions can be performed. With AutoPi connected to the cloud, data can be uploaded and shared with external parties for further analysis.